Triple

T21784685
Position Surface form Disambiguated ID Type / Status
Subject Lanaken E537803 entity
Predicate hasTwinTown P919 FINISHED
Object Hettstedt (Germany) NE NERFINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hettstedt (Germany) | Statement: [Lanaken, hasTwinTown, Hettstedt (Germany)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hettstedt (Germany)
Context triple: [Lanaken, hasTwinTown, Hettstedt (Germany)]
  • A. Wunstorf, Germany
    Wunstorf, Germany is a town in Lower Saxony known for its historic center and nearby Steinhuder Meer lake, as well as its role as a regional transport and military airbase hub.
  • B. Schröttinghausen, Germany
    Schröttinghausen is a small locality in Germany best known as the birthplace of influential astronomer Walter Baade.
  • C. Herten, Germany
    Herten, Germany is a town in the Ruhr area of North Rhine-Westphalia known for its coal-mining history and proximity to larger cities like Gelsenkirchen and Recklinghausen.
  • D. Seeheim-Jugenheim, Germany
    Seeheim-Jugenheim is a municipality in the German state of Hesse, known for its scenic location on the Bergstraße and its historic villas and spa-town character.
  • E. Lübbecke, Germany
    Lübbecke is a small town in North Rhine-Westphalia, Germany, known for its location at the foot of the Wiehen Hills and its traditional brewing industry.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hettstedt (Germany)
Target entity description: Hettstedt is a small town in the German state of Saxony-Anhalt, historically known for its copper mining and metalworking industries.
  • A. Wunstorf, Germany
    Wunstorf, Germany is a town in Lower Saxony known for its historic center and nearby Steinhuder Meer lake, as well as its role as a regional transport and military airbase hub.
  • B. Schröttinghausen, Germany
    Schröttinghausen is a small locality in Germany best known as the birthplace of influential astronomer Walter Baade.
  • C. Herten, Germany
    Herten, Germany is a town in the Ruhr area of North Rhine-Westphalia known for its coal-mining history and proximity to larger cities like Gelsenkirchen and Recklinghausen.
  • D. Seeheim-Jugenheim, Germany
    Seeheim-Jugenheim is a municipality in the German state of Hesse, known for its scenic location on the Bergstraße and its historic villas and spa-town character.
  • E. Lübbecke, Germany
    Lübbecke is a small town in North Rhine-Westphalia, Germany, known for its location at the foot of the Wiehen Hills and its traditional brewing industry.
  • F. None of above. chosen

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04630f4f08190910b9e499a4249ca completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.